{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {
    "colab_type": "text",
    "id": "D7tqLMoKF6uq"
   },
   "source": [
    "Deep Learning\n",
    "=============\n",
    "\n",
    "Assignment 5\n",
    "------------\n",
    "\n",
    "The goal of this assignment is to train a Word2Vec skip-gram model over [Text8](http://mattmahoney.net/dc/textdata) data."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "cellView": "both",
    "colab": {
     "autoexec": {
      "startup": false,
      "wait_interval": 0
     }
    },
    "colab_type": "code",
    "collapsed": true,
    "id": "0K1ZyLn04QZf"
   },
   "outputs": [],
   "source": [
    "# These are all the modules we'll be using later. Make sure you can import them\n",
    "# before proceeding further.\n",
    "%matplotlib inline\n",
    "from __future__ import print_function\n",
    "import collections\n",
    "import math\n",
    "import numpy as np\n",
    "import os\n",
    "import random\n",
    "import tensorflow as tf\n",
    "import zipfile\n",
    "from matplotlib import pylab\n",
    "from six.moves import range\n",
    "from six.moves.urllib.request import urlretrieve\n",
    "from sklearn.manifold import TSNE"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "colab_type": "text",
    "id": "aCjPJE944bkV"
   },
   "source": [
    "Download the data from the source website if necessary."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "cellView": "both",
    "colab": {
     "autoexec": {
      "startup": false,
      "wait_interval": 0
     },
     "output_extras": [
      {
       "item_id": 1
      }
     ]
    },
    "colab_type": "code",
    "collapsed": false,
    "executionInfo": {
     "elapsed": 14640,
     "status": "ok",
     "timestamp": 1445964482948,
     "user": {
      "color": "#1FA15D",
      "displayName": "Vincent Vanhoucke",
      "isAnonymous": false,
      "isMe": true,
      "permissionId": "05076109866853157986",
      "photoUrl": "//lh6.googleusercontent.com/-cCJa7dTDcgQ/AAAAAAAAAAI/AAAAAAAACgw/r2EZ_8oYer4/s50-c-k-no/photo.jpg",
      "sessionId": "2f1ffade4c9f20de",
      "userId": "102167687554210253930"
     },
     "user_tz": 420
    },
    "id": "RJ-o3UBUFtCw",
    "outputId": "c4ec222c-80b5-4298-e635-93ca9f79c3b7"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Found and verified /Users/lzy/data/text8.zip\n"
     ]
    }
   ],
   "source": [
    "url = 'http://mattmahoney.net/dc/'\n",
    "\n",
    "def maybe_download(filename, expected_bytes):\n",
    "  \"\"\"Download a file if not present, and make sure it's the right size.\"\"\"\n",
    "  if not os.path.exists(filename):\n",
    "    filename, _ = urlretrieve(url + filename, filename)\n",
    "  statinfo = os.stat(filename)\n",
    "  if statinfo.st_size == expected_bytes:\n",
    "    print('Found and verified %s' % filename)\n",
    "  else:\n",
    "    print(statinfo.st_size)\n",
    "    raise Exception(\n",
    "      'Failed to verify ' + filename + '. Can you get to it with a browser?')\n",
    "  return filename\n",
    "\n",
    "filename = maybe_download('/Users/lzy/data/text8.zip', 31344016)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "colab_type": "text",
    "id": "Zqz3XiqI4mZT"
   },
   "source": [
    "Read the data into a string."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "cellView": "both",
    "colab": {
     "autoexec": {
      "startup": false,
      "wait_interval": 0
     },
     "output_extras": [
      {
       "item_id": 1
      }
     ]
    },
    "colab_type": "code",
    "collapsed": false,
    "executionInfo": {
     "elapsed": 28844,
     "status": "ok",
     "timestamp": 1445964497165,
     "user": {
      "color": "#1FA15D",
      "displayName": "Vincent Vanhoucke",
      "isAnonymous": false,
      "isMe": true,
      "permissionId": "05076109866853157986",
      "photoUrl": "//lh6.googleusercontent.com/-cCJa7dTDcgQ/AAAAAAAAAAI/AAAAAAAACgw/r2EZ_8oYer4/s50-c-k-no/photo.jpg",
      "sessionId": "2f1ffade4c9f20de",
      "userId": "102167687554210253930"
     },
     "user_tz": 420
    },
    "id": "Mvf09fjugFU_",
    "outputId": "e3a928b4-1645-4fe8-be17-fcf47de5716d"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Data size 17005207\n"
     ]
    }
   ],
   "source": [
    "def read_data(filename):\n",
    "  \"\"\"Extract the first file enclosed in a zip file as a list of words\"\"\"\n",
    "  with zipfile.ZipFile(filename) as f:\n",
    "    data = tf.compat.as_str(f.read(f.namelist()[0])).split()\n",
    "  return data\n",
    "\n",
    "#words里面包含了所有的单词\n",
    "words = read_data(filename)\n",
    "print('Data size %d' % len(words))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "colab_type": "text",
    "id": "Zdw6i4F8glpp"
   },
   "source": [
    "Build the dictionary and replace rare words with UNK token."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "cellView": "both",
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     "autoexec": {
      "startup": false,
      "wait_interval": 0
     },
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      {
       "item_id": 1
      }
     ]
    },
    "colab_type": "code",
    "collapsed": false,
    "executionInfo": {
     "elapsed": 28849,
     "status": "ok",
     "timestamp": 1445964497178,
     "user": {
      "color": "#1FA15D",
      "displayName": "Vincent Vanhoucke",
      "isAnonymous": false,
      "isMe": true,
      "permissionId": "05076109866853157986",
      "photoUrl": "//lh6.googleusercontent.com/-cCJa7dTDcgQ/AAAAAAAAAAI/AAAAAAAACgw/r2EZ_8oYer4/s50-c-k-no/photo.jpg",
      "sessionId": "2f1ffade4c9f20de",
      "userId": "102167687554210253930"
     },
     "user_tz": 420
    },
    "id": "gAL1EECXeZsD",
    "outputId": "3fb4ecd1-df67-44b6-a2dc-2291730970b2"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Most common words (+UNK) [['UNK', 418391], ('the', 1061396), ('of', 593677), ('and', 416629), ('one', 411764)]\n",
      "Sample data [5239, 3084, 12, 6, 195, 2, 3137, 46, 59, 156]\n"
     ]
    }
   ],
   "source": [
    "#词汇表大小\n",
    "vocabulary_size = 50000\n",
    "\n",
    "def build_dataset(words):\n",
    "  count = [['UNK', -1]]\n",
    "  count.extend(collections.Counter(words).most_common(vocabulary_size - 1))\n",
    "  \n",
    "  #词-索引哈希\n",
    "  dictionary = dict()\n",
    "  for word, _ in count:\n",
    "    dictionary[word] = len(dictionary)\n",
    "  \n",
    "  #用索引表示的整个text8文本\n",
    "  data = list()\n",
    "  unk_count = 0\n",
    "  for word in words:\n",
    "    if word in dictionary:\n",
    "      index = dictionary[word]\n",
    "    else:\n",
    "      index = 0  # dictionary['UNK']\n",
    "      unk_count = unk_count + 1\n",
    "    data.append(index)\n",
    "  \n",
    "  count[0][1] = unk_count\n",
    "  # 索引-词哈希  \n",
    "  reverse_dictionary = dict(zip(dictionary.values(), dictionary.keys())) \n",
    "  return data, count, dictionary, reverse_dictionary\n",
    "\n",
    "data, count, dictionary, reverse_dictionary = build_dataset(words)\n",
    "print('Most common words (+UNK)', count[:5])\n",
    "print('Sample data', data[:10])\n",
    "del words  # Hint to reduce memory."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "colab_type": "text",
    "id": "lFwoyygOmWsL"
   },
   "source": [
    "Function to generate a training batch for the skip-gram model.\n",
    "\n",
    "生成skip-gram模型的训练batch"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "cellView": "both",
    "colab": {
     "autoexec": {
      "startup": false,
      "wait_interval": 0
     },
     "output_extras": [
      {
       "item_id": 1
      }
     ]
    },
    "colab_type": "code",
    "collapsed": false,
    "executionInfo": {
     "elapsed": 113,
     "status": "ok",
     "timestamp": 1445964901989,
     "user": {
      "color": "#1FA15D",
      "displayName": "Vincent Vanhoucke",
      "isAnonymous": false,
      "isMe": true,
      "permissionId": "05076109866853157986",
      "photoUrl": "//lh6.googleusercontent.com/-cCJa7dTDcgQ/AAAAAAAAAAI/AAAAAAAACgw/r2EZ_8oYer4/s50-c-k-no/photo.jpg",
      "sessionId": "2f1ffade4c9f20de",
      "userId": "102167687554210253930"
     },
     "user_tz": 420
    },
    "id": "w9APjA-zmfjV",
    "outputId": "67cccb02-cdaf-4e47-d489-43bcc8d57bb8"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "data: ['anarchism', 'originated', 'as', 'a', 'term', 'of', 'abuse', 'first', 'used', 'against']\n",
      "\n",
      "with num_skips = 2 and skip_window = 1:\n",
      "    batch: ['originated', 'originated', 'as', 'as', 'a', 'a', 'term', 'term']\n",
      "    labels: ['as', 'anarchism', 'originated', 'a', 'term', 'as', 'of', 'a']\n",
      "\n",
      "with num_skips = 4 and skip_window = 2:\n",
      "    batch: ['as', 'as', 'as', 'as', 'a', 'a', 'a', 'a']\n",
      "    labels: ['term', 'anarchism', 'originated', 'a', 'originated', 'term', 'as', 'of']\n"
     ]
    }
   ],
   "source": [
    "data_index = 0\n",
    "\n",
    "# num_skips表示在两侧窗口内实际取多少个词，数量可以小于2*skip_window\n",
    "def generate_batch(batch_size, num_skips, skip_window):\n",
    "  global data_index\n",
    "  \n",
    "  #这里两个断言\n",
    "  assert batch_size % num_skips == 0\n",
    "  assert num_skips <= 2 * skip_window\n",
    "\n",
    "  #初始化batch和labels，都是整形\n",
    "  batch = np.ndarray(shape=(batch_size), dtype=np.int32)\n",
    "  labels = np.ndarray(shape=(batch_size, 1), dtype=np.int32) #注意labels的形状\n",
    "  \n",
    "  span = 2 * skip_window + 1 # [ skip_window target skip_window ]\n",
    "  #buffer这个队列太有用了，不断地保存span个单词在里面，然后不断往后滑动，而且buffer[skip_window]就是中心词\n",
    "  buffer = collections.deque(maxlen=span)\n",
    "  \n",
    "  for _ in range(span):\n",
    "    buffer.append(data[data_index])\n",
    "    data_index = (data_index + 1) % len(data)\n",
    "  \n",
    "  #需要多少个中心词\n",
    "  center_words_count=batch_size // num_skips\n",
    "  for i in range(center_words_count):\n",
    "    #skip_window在buffer里正好是中心词所在位置\n",
    "    target = skip_window  # target label at the center of the buffer\n",
    "    targets_to_avoid = [ skip_window ]\n",
    "    for j in range(num_skips):  \n",
    "      while target in targets_to_avoid:\n",
    "        target = random.randint(0, span - 1)  #当span=3时，target可以取0，1，2\n",
    "      targets_to_avoid.append(target)\n",
    "      batch[i * num_skips + j] = buffer[skip_window]\n",
    "      labels[i * num_skips + j, 0] = buffer[target]\n",
    "    buffer.append(data[data_index])\n",
    "    data_index = (data_index + 1) % len(data)\n",
    "  return batch, labels\n",
    "\n",
    "# 打印前8个单词\n",
    "print('data:', [reverse_dictionary[di] for di in data[:10]])\n",
    "for num_skips, skip_window in [(2, 1), (4, 2)]:\n",
    "    data_index = 0\n",
    "    batch, labels = generate_batch(batch_size=8, num_skips=num_skips, skip_window=skip_window)\n",
    "    print('\\nwith num_skips = %d and skip_window = %d:' % (num_skips, skip_window))\n",
    "    print('    batch:', [reverse_dictionary[bi] for bi in batch])\n",
    "    print('    labels:', [reverse_dictionary[li] for li in labels.reshape(8)])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "colab_type": "text",
    "id": "Ofd1MbBuwiva"
   },
   "source": [
    "Train a skip-gram model."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "cellView": "both",
    "colab": {
     "autoexec": {
      "startup": false,
      "wait_interval": 0
     }
    },
    "colab_type": "code",
    "collapsed": true,
    "id": "8pQKsV4Vwlzy"
   },
   "outputs": [],
   "source": [
    "batch_size = 128\n",
    "embedding_size = 128 # Dimension of the embedding vector.\n",
    "skip_window = 1 # How many words to consider left and right.\n",
    "num_skips = 2 # How many times to reuse an input to generate a label.\n",
    "\n",
    "# We pick a random validation set to sample nearest neighbors. here we limit the\n",
    "# validation samples to the words that have a low numeric ID, which by\n",
    "# construction are also the most frequent. \n",
    "# 这里到底是怎么选择的？\n",
    "valid_size = 16 # Random set of words to evaluate similarity on.\n",
    "valid_window = 100 # Only pick dev samples in the head of the distribution.\n",
    "#随机挑选一组单词作为验证集，valid_examples也就是下面的valid_dataset，是一个一维的ndarray\n",
    "valid_examples = np.array(random.sample(range(valid_window), valid_size))\n",
    "\n",
    "#这个值取多少合适？负采样数值\n",
    "num_sampled = 64 # Number of negative examples to sample.\n",
    "\n",
    "graph = tf.Graph()\n",
    "\n",
    "with graph.as_default(), tf.device('/cpu:0'):\n",
    "\n",
    "  # 训练集和标签，以及验证集（注意验证集是一个常量集合）\n",
    "  train_dataset = tf.placeholder(tf.int32, shape=[batch_size])\n",
    "  train_labels = tf.placeholder(tf.int32, shape=[batch_size, 1])\n",
    "  valid_dataset = tf.constant(valid_examples, dtype=tf.int32)\n",
    "  \n",
    "  # 这里的变量很重要！！要训练的embeddings，以及w和b\n",
    "  embeddings = tf.Variable(tf.random_uniform([vocabulary_size, embedding_size], -1.0, 1.0))\n",
    "  softmax_weights = tf.Variable(\n",
    "    tf.truncated_normal([vocabulary_size, embedding_size],stddev=1.0 / math.sqrt(embedding_size)))\n",
    "  softmax_biases = tf.Variable(tf.zeros([vocabulary_size]))\n",
    "  \n",
    "  # Model.\n",
    "  # 这里很重要，用train_dataset去embeddings中取数据，train_dataset是一个一维的ndarray\n",
    "  embed = tf.nn.embedding_lookup(embeddings, train_dataset)\n",
    "\n",
    "  # Compute the softmax loss, using a sample of the negative labels each time.\n",
    "  # 计算损失，tf.reduce_mean和tf.nn.sampled_softmax_loss\n",
    "  loss = tf.reduce_mean(tf.nn.sampled_softmax_loss(softmax_weights, softmax_biases, embed,\n",
    "                               train_labels, num_sampled, vocabulary_size))\n",
    "\n",
    "  # Optimizer.优化器，这里也会优化embeddings\n",
    "  # Note: The optimizer will optimize the softmax_weights AND the embeddings.\n",
    "  # This is because the embeddings are defined as a variable quantity and the\n",
    "  # optimizer's `minimize` method will by default modify all variable quantities \n",
    "  # that contribute to the tensor it is passed.\n",
    "  # See docs on `tf.train.Optimizer.minimize()` for more details.\n",
    "  optimizer = tf.train.AdagradOptimizer(1.0).minimize(loss)\n",
    "  \n",
    "  # 模型其实到这里就结束了，下面是在验证集上做效果验证\n",
    "  # Compute the similarity between minibatch examples and all embeddings.\n",
    "  # We use the cosine distance:先对embeddings做正则化\n",
    "  norm = tf.sqrt(tf.reduce_sum(tf.square(embeddings), 1, keep_dims=True))\n",
    "  normalized_embeddings = embeddings / norm\n",
    "  valid_embeddings = tf.nn.embedding_lookup(normalized_embeddings, valid_dataset)\n",
    "  #验证集单词与其他所有单词的相似度计算\n",
    "  similarity = tf.matmul(valid_embeddings, tf.transpose(normalized_embeddings))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
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    "executionInfo": {
     "elapsed": 436189,
     "status": "ok",
     "timestamp": 1445965429787,
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   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Initialized\n",
      "Average loss at step 0: 8.325583\n",
      "Nearest to after: infective, vacuole, residuals, watershed, giant, qualified, julio, transonic,\n",
      "Nearest to so: iroquois, vapor, destabilizing, nitroglycerin, ula, heights, trampled, mascarene,\n",
      "Nearest to zero: flynt, refurbishment, cook, addictions, upc, arcadia, encountered, violation,\n",
      "Nearest to was: sinbad, lulu, revealing, sorel, ladies, utraquists, commended, poincar,\n",
      "Nearest to two: tr, kiesinger, legis, felony, fulgencio, apologized, distinguishes, jehovah,\n",
      "Nearest to between: binary, transformations, yun, impression, pitches, giorgio, chemically, coinciding,\n",
      "Nearest to new: strenuous, statistic, oversized, polyhedra, fullness, trojan, etta, mercantile,\n",
      "Nearest to at: ogden, indication, examines, apparently, remixing, plywood, hornsby, lille,\n",
      "Nearest to only: oaks, lebeau, polystyrene, multiply, dict, haemoglobin, perceptions, reenactment,\n",
      "Nearest to used: eaton, autoerotic, interconnected, unidentified, excludes, datagrams, warehouse, miracle,\n",
      "Nearest to all: compound, abrogated, adjusting, hearted, bestowed, hijackings, infallibility, rodin,\n",
      "Nearest to also: individual, appointment, rosso, sectarian, those, eugene, flights, europe,\n",
      "Nearest to states: anglicisation, vulnerabilities, beazley, anglicized, preventive, disobey, dwelling, avoid,\n",
      "Nearest to during: revisited, fethry, flock, potentials, semmelweis, attain, knossos, oilseed,\n",
      "Nearest to see: hen, recurrent, snowflakes, norwich, nga, restored, melvin, aoraki,\n",
      "Nearest to years: arts, processing, sars, behavioural, depravity, ratifying, recapture, supercharger,\n",
      "Average loss at step 2000: 4.364780\n",
      "Average loss at step 4000: 3.863380\n",
      "Average loss at step 6000: 3.791416\n",
      "Average loss at step 8000: 3.686058\n",
      "Average loss at step 10000: 3.611600\n",
      "Nearest to after: during, acre, giant, salute, from, vacuole, hierarchy, notes,\n",
      "Nearest to so: iroquois, championships, tiger, rejected, vapor, destabilizing, regulate, nitroglycerin,\n",
      "Nearest to zero: nine, eight, six, five, seven, three, four, two,\n",
      "Nearest to was: is, had, has, were, became, spray, by, pictured,\n",
      "Nearest to two: three, five, four, six, seven, eight, nine, zero,\n",
      "Nearest to between: from, in, yun, binary, celsius, transformations, giorgio, impression,\n",
      "Nearest to new: berger, oversized, fullness, logone, statistic, debacle, trojan, deception,\n",
      "Nearest to at: on, in, during, caspar, gtpase, manning, swansea, classless,\n",
      "Nearest to only: although, icann, lebeau, about, oaks, diaries, circumvented, recessive,\n",
      "Nearest to used: found, unesco, mosaics, miracle, excludes, autoerotic, ami, interconnected,\n",
      "Nearest to all: these, vet, restitution, bestowed, meditating, eldridge, locked, methadone,\n",
      "Nearest to also: sometimes, generally, it, there, often, which, called, lantern,\n",
      "Nearest to states: characterized, vulnerabilities, disintegrate, beazley, fourth, america, morehouse, implementations,\n",
      "Nearest to during: after, flock, islamic, at, first, oilseed, fethry, revisited,\n",
      "Nearest to see: aoraki, refers, evolutionists, signalled, linkages, golden, combatants, horn,\n",
      "Nearest to years: performers, behavioural, salmon, kore, formats, lehman, broadband, mvp,\n",
      "Average loss at step 12000: 3.599879\n",
      "Average loss at step 14000: 3.572108\n",
      "Average loss at step 16000: 3.404746\n",
      "Average loss at step 18000: 3.455880\n",
      "Average loss at step 20000: 3.538123\n",
      "Nearest to after: from, during, before, at, through, salute, acre, giant,\n",
      "Nearest to so: rejected, publ, championships, regulate, vapor, bernardino, tacit, agencies,\n",
      "Nearest to zero: five, six, four, eight, seven, nine, three, two,\n",
      "Nearest to was: is, were, has, had, be, became, been, are,\n",
      "Nearest to two: three, four, five, six, one, seven, eight, zero,\n",
      "Nearest to between: from, yun, ethnological, celsius, binary, impression, derails, pharaoh,\n",
      "Nearest to new: runciman, logone, hunnish, lumpur, berger, fullness, refrigerants, oversized,\n",
      "Nearest to at: in, during, on, after, under, franchisees, ate, with,\n",
      "Nearest to only: elway, return, padded, about, oxley, icann, oaks, electrochemical,\n",
      "Nearest to used: found, environmentalism, popes, mosaics, miracle, cps, told, written,\n",
      "Nearest to all: these, those, both, baggage, restitution, many, methadone, vardar,\n",
      "Nearest to also: generally, which, sometimes, often, still, then, now, below,\n",
      "Nearest to states: vulnerabilities, disintegrate, america, characterized, valerius, fourth, guth, concentrate,\n",
      "Nearest to during: at, after, islamic, when, flock, from, into, before,\n",
      "Nearest to see: combatants, refers, platypus, grim, linkages, fogo, horn, zeroes,\n",
      "Nearest to years: potentials, performers, mvp, prc, kore, pellets, senegalese, salmon,\n",
      "Average loss at step 22000: 3.504152\n",
      "Average loss at step 24000: 3.491347\n",
      "Average loss at step 26000: 3.480486\n",
      "Average loss at step 28000: 3.476716\n",
      "Average loss at step 30000: 3.505380\n",
      "Nearest to after: before, during, when, from, at, for, song, in,\n",
      "Nearest to so: publ, rejected, vapor, silberman, regulate, tacit, championships, providence,\n",
      "Nearest to zero: five, eight, seven, four, six, three, nine, two,\n",
      "Nearest to was: is, had, were, has, became, when, been, be,\n",
      "Nearest to two: four, three, five, one, seven, six, eight, zero,\n",
      "Nearest to between: with, from, yun, in, impression, celsius, through, under,\n",
      "Nearest to new: hunnish, sampler, lumpur, modern, fermentation, dementia, oversized, deception,\n",
      "Nearest to at: during, in, after, under, ate, on, abolishment, when,\n",
      "Nearest to only: devalued, padded, icann, about, kingman, oxley, best, no,\n",
      "Nearest to used: found, known, written, alpinus, referred, seen, applied, given,\n",
      "Nearest to all: these, vardar, both, some, any, bestowed, many, means,\n",
      "Nearest to also: sometimes, often, generally, still, which, widely, sideshow, now,\n",
      "Nearest to states: vulnerabilities, guth, disintegrate, valerius, characterized, dwelling, rarefied, kingdom,\n",
      "Nearest to during: after, at, before, when, in, into, was, sf,\n",
      "Nearest to see: refers, but, platypus, combatants, linkages, include, grim, zeroes,\n",
      "Nearest to years: times, days, pellets, potentials, lc, senegalese, kore, behavioural,\n",
      "Average loss at step 32000: 3.501668\n",
      "Average loss at step 34000: 3.493045\n",
      "Average loss at step 36000: 3.453393\n",
      "Average loss at step 38000: 3.298185\n",
      "Average loss at step 40000: 3.426655\n",
      "Nearest to after: before, during, when, from, was, song, while, infatuated,\n",
      "Nearest to so: publ, more, then, torpedo, unicast, silberman, regulate, rejected,\n",
      "Nearest to zero: seven, five, six, nine, eight, three, four, two,\n",
      "Nearest to was: is, became, had, were, has, when, spray, be,\n",
      "Nearest to two: three, four, five, six, seven, one, eight, zero,\n",
      "Nearest to between: from, with, impression, over, yun, egyptians, ethnological, against,\n",
      "Nearest to new: modern, hunnish, lengthwise, lumpur, runciman, sampler, pai, generis,\n",
      "Nearest to at: during, on, ate, in, undecidability, before, scotty, klan,\n",
      "Nearest to only: padded, arpanet, kingman, renewed, blondie, everyone, actually, wilkinson,\n",
      "Nearest to used: found, known, considered, written, referred, seen, applied, alpinus,\n",
      "Nearest to all: both, these, any, vardar, bestowed, koreans, restitution, those,\n",
      "Nearest to also: often, still, sometimes, which, generally, there, usually, not,\n",
      "Nearest to states: kingdom, vulnerabilities, guth, huntingdon, disintegrate, procession, obsolete, jews,\n",
      "Nearest to during: after, at, before, when, in, on, towards, sixties,\n",
      "Nearest to see: platypus, refers, include, but, grim, wu, fogo, contributed,\n",
      "Nearest to years: days, times, lc, months, potentials, pellets, exhorted, behavioural,\n"
     ]
    }
   ],
   "source": [
    "num_steps = 40001\n",
    "\n",
    "with tf.Session(graph=graph) as session:\n",
    "  tf.initialize_all_variables().run()\n",
    "  print('Initialized')\n",
    "  average_loss = 0\n",
    "  for step in range(num_steps):\n",
    "    batch_data, batch_labels = generate_batch(batch_size, num_skips, skip_window)\n",
    "    feed_dict = {train_dataset : batch_data, train_labels : batch_labels}\n",
    "    _, l = session.run([optimizer, loss], feed_dict=feed_dict)\n",
    "    \n",
    "    average_loss += l\n",
    "    if step % 2000 == 0:\n",
    "      if step > 0:\n",
    "        average_loss = average_loss / 2000\n",
    "      # The average loss is an estimate of the loss over the last 2000 batches.\n",
    "      print('Average loss at step %d: %f' % (step, average_loss))\n",
    "      average_loss = 0\n",
    "    \n",
    "    # note that this is expensive (~20% slowdown if computed every 500 steps)\n",
    "    if step % 10000 == 0:\n",
    "      sim = similarity.eval()\n",
    "      for i in range(valid_size):\n",
    "        valid_word = reverse_dictionary[valid_examples[i]]\n",
    "        top_k = 8 # number of nearest neighbors\n",
    "        nearest = (-sim[i, :]).argsort()[1:top_k+1]\n",
    "        log = 'Nearest to %s:' % valid_word\n",
    "        for k in range(top_k):\n",
    "          close_word = reverse_dictionary[nearest[k]]\n",
    "          log = '%s %s,' % (log, close_word)\n",
    "        print(log)\n",
    "  #一直到训练结束，再对所有embeddings做一次正则化，得到最后的embedding\n",
    "  final_embeddings = normalized_embeddings.eval()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {
    "cellView": "both",
    "colab": {
     "autoexec": {
      "startup": false,
      "wait_interval": 0
     }
    },
    "colab_type": "code",
    "collapsed": false,
    "id": "jjJXYA_XzV79",
    "scrolled": true
   },
   "outputs": [],
   "source": [
    "num_points = 400\n",
    "# 降维度PCA\n",
    "tsne = TSNE(perplexity=30, n_components=2, init='pca', n_iter=5000)\n",
    "two_d_embeddings = tsne.fit_transform(final_embeddings[1:num_points+1, :])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {
    "cellView": "both",
    "colab": {
     "autoexec": {
      "startup": false,
      "wait_interval": 0
     },
     "output_extras": [
      {
       "item_id": 1
      }
     ]
    },
    "colab_type": "code",
    "collapsed": false,
    "executionInfo": {
     "elapsed": 4763,
     "status": "ok",
     "timestamp": 1445965465525,
     "user": {
      "color": "#1FA15D",
      "displayName": "Vincent Vanhoucke",
      "isAnonymous": false,
      "isMe": true,
      "permissionId": "05076109866853157986",
      "photoUrl": "//lh6.googleusercontent.com/-cCJa7dTDcgQ/AAAAAAAAAAI/AAAAAAAACgw/r2EZ_8oYer4/s50-c-k-no/photo.jpg",
      "sessionId": "2f1ffade4c9f20de",
      "userId": "102167687554210253930"
     },
     "user_tz": 420
    },
    "id": "o_e0D_UezcDe",
    "outputId": "df22e4a5-e8ec-4e5e-d384-c6cf37c68c34"
   },
   "outputs": [
    {
     "data": {
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HV2RNFy9e1ODBg+Xl5aWBAwfq3Llzji7Jtuvo2rW9tXZtb0VFxVbof+MAHI/A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\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NsLGwsDQY34IU8ezZsxETcwOPH7sACAEwHYWFtujUKRQREZJ92Hg8XpUy1wKBAImJicxn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\n6AaKcod72AAAAFDudejQQUuWLFFqaqqSk5O1ZMkStW/fXqdOnbrksR4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      "text/plain": [
       "<matplotlib.figure.Figure at 0x15a84c750>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "def plot(embeddings, labels):\n",
    "  assert embeddings.shape[0] >= len(labels), 'More labels than embeddings'\n",
    "  pylab.figure(figsize=(15,15))  # in inches\n",
    "  for i, label in enumerate(labels):\n",
    "    x, y = embeddings[i,:]\n",
    "    pylab.scatter(x, y)\n",
    "    pylab.annotate(label, xy=(x, y), xytext=(5, 2), textcoords='offset points',\n",
    "                   ha='right', va='bottom')\n",
    "  pylab.show()\n",
    "\n",
    "words = [reverse_dictionary[i] for i in range(1, num_points+1)]\n",
    "plot(two_d_embeddings, words)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "colab_type": "text",
    "id": "QB5EFrBnpNnc"
   },
   "source": [
    "---\n",
    "\n",
    "Problem\n",
    "-------\n",
    "\n",
    "An alternative to skip-gram is another Word2Vec model called [CBOW](http://arxiv.org/abs/1301.3781) (Continuous Bag of Words). In the CBOW model, instead of predicting a context word from a word vector, you predict a word from the sum of all the word vectors in its context. Implement and evaluate a CBOW model trained on the text8 dataset.\n",
    "\n",
    "---"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "data: ['anarchism', 'originated', 'as', 'a', 'term', 'of', 'abuse', 'first']\n",
      "[5239, 3084, 12, 6, 195, 2, 3137, 46]\n",
      "\n",
      "with num_skips = 2 and skip_window = 1:\n",
      "    batch: ['as', 'anarchism', 'a', 'originated', 'term', 'as', 'a', 'of']\n",
      "    labels: ['originated', 'as', 'a', 'term']\n",
      "[[  12 5239]\n",
      " [   6 3084]\n",
      " [ 195   12]\n",
      " [   6    2]] [[3084]\n",
      " [  12]\n",
      " [   6]\n",
      " [ 195]]\n",
      "\n",
      "with num_skips = 4 and skip_window = 2:\n",
      "    batch: ['a', 'term', 'anarchism', 'originated', 'of', 'originated', 'term', 'as']\n",
      "    labels: ['as', 'a']\n",
      "[[   6  195 5239 3084]\n",
      " [   2 3084  195   12]] [[12]\n",
      " [ 6]]\n"
     ]
    }
   ],
   "source": [
    "data_index = 0\n",
    "\n",
    "def generate_batch(batch_size, num_skips, skip_window):\n",
    "  global data_index\n",
    "  assert batch_size % num_skips == 0\n",
    "  assert num_skips <= 2 * skip_window\n",
    "  batch = np.ndarray(shape=(batch_size/num_skips), dtype=np.int32)\n",
    "  labels = np.ndarray(shape=(batch_size), dtype=np.int32)\n",
    "  span = 2 * skip_window + 1 # [ skip_window target skip_window ]\n",
    "  buffer = collections.deque(maxlen=span)\n",
    "\n",
    "  for _ in range(span):\n",
    "    buffer.append(data[data_index])\n",
    "    data_index = (data_index + 1) % len(data)\n",
    "  \n",
    "  for i in range(batch_size // num_skips):\n",
    "    target = skip_window  # target label at the center of the buffer\n",
    "    targets_to_avoid = [ skip_window ]\n",
    "    for j in range(num_skips):\n",
    "      while target in targets_to_avoid:\n",
    "        target = random.randint(0, span - 1)\n",
    "      targets_to_avoid.append(target)\n",
    "      batch[i] = buffer[skip_window]\n",
    "      labels[i*num_skips+j] = buffer[target]\n",
    "    buffer.append(data[data_index])\n",
    "    data_index = (data_index + 1) % len(data)\n",
    "    \n",
    "    batch1=labels.reshape(batch_size/num_skips,num_skips)\n",
    "    labels1=batch.reshape(batch_size/num_skips,1)\n",
    "  return batch1,labels1\n",
    "\n",
    "print('data:', [reverse_dictionary[di] for di in data[:8]])\n",
    "print(data[:8])\n",
    "\n",
    "for num_skips, skip_window in [(2, 1), (4, 2)]:\n",
    "    data_index = 0\n",
    "    batch_size=8\n",
    "    batch, labels = generate_batch(batch_size, num_skips=num_skips, skip_window=skip_window)\n",
    "    print('\\nwith num_skips = %d and skip_window = %d:' % (num_skips, skip_window))\n",
    "    print('    batch:', [reverse_dictionary[bi] for bi in batch.reshape(batch_size)])\n",
    "    print('    labels:', [reverse_dictionary[li] for li in labels.reshape(batch_size/num_skips)])\n",
    "    print(batch,labels)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "batch_size = 256\n",
    "embedding_size = 128 # Dimension of the embedding vector.\n",
    "skip_window = 1 # How many words to consider left and right.\n",
    "num_skips = 2 # How many times to reuse an input to generate a label.\n",
    "# We pick a random validation set to sample nearest neighbors. here we limit the\n",
    "# validation samples to the words that have a low numeric ID, which by\n",
    "# construction are also the most frequent. \n",
    "valid_size = 16 # Random set of words to evaluate similarity on.\n",
    "valid_window = 100 # Only pick dev samples in the head of the distribution.\n",
    "valid_examples = np.array(random.sample(range(valid_window), valid_size))\n",
    "num_sampled = 64 # Number of negative examples to sample.\n",
    "\n",
    "graph = tf.Graph()\n",
    "\n",
    "with graph.as_default(), tf.device('/cpu:0'):\n",
    "\n",
    "  # Input data.\n",
    "  train_dataset = tf.placeholder(tf.int32, shape=[batch_size/num_skips,num_skips])\n",
    "  train_labels = tf.placeholder(tf.int32, shape=[batch_size/num_skips, 1])\n",
    "  valid_dataset = tf.constant(valid_examples, dtype=tf.int32)\n",
    "  \n",
    "  # Variables.均匀分布\n",
    "  embeddings = tf.Variable(tf.random_uniform([vocabulary_size, embedding_size], -1.0, 1.0))\n",
    "  \n",
    "  softmax_weights = tf.Variable(\n",
    "    tf.truncated_normal([vocabulary_size, embedding_size],mean=0.0,\n",
    "                         stddev=1.0 / math.sqrt(embedding_size)))\n",
    "  softmax_biases = tf.Variable(tf.zeros([vocabulary_size]))\n",
    "  \n",
    "  # Model.\n",
    "  # Look up embeddings for inputs.\n",
    "  embed = sum(tf.nn.embedding_lookup(embeddings, train_dataset[:,i]) for i in range(num_skips))\n",
    "  # Compute the softmax loss, using a sample of the negative labels each time.\n",
    "  loss = tf.reduce_mean(\n",
    "    tf.nn.sampled_softmax_loss(softmax_weights, softmax_biases, embed,\n",
    "                               train_labels, num_sampled, vocabulary_size))\n",
    "\n",
    "  # Optimizer.\n",
    "  # Note: The optimizer will optimize the softmax_weights AND the embeddings.\n",
    "  # This is because the embeddings are defined as a variable quantity and the\n",
    "  # optimizer's `minimize` method will by default modify all variable quantities \n",
    "  # that contribute to the tensor it is passed.\n",
    "  # See docs on `tf.train.Optimizer.minimize()` for more details.\n",
    "  optimizer = tf.train.AdagradOptimizer(1.0).minimize(loss)\n",
    "  \n",
    "  # Compute the similarity between minibatch examples and all embeddings.\n",
    "  # We use the cosine distance:\n",
    "  # 正则化的embeddings\n",
    "  norm = tf.sqrt(tf.reduce_sum(tf.square(embeddings), 1, keep_dims=True))\n",
    "  normalized_embeddings = embeddings / norm\n",
    "  valid_embeddings = tf.nn.embedding_lookup(normalized_embeddings, valid_dataset)\n",
    "  similarity = tf.matmul(valid_embeddings, tf.transpose(normalized_embeddings))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Initialized\n",
      "Average loss at step 0: 7.526579\n",
      "Nearest to nine: amputation, disintegration, nativist, visconti, confession, trochaic, hiatus, osce,\n",
      "Nearest to five: panic, useless, announced, lds, technology, fro, tnt, proves,\n",
      "Nearest to b: suez, malevich, atx, generis, bernoulli, jameson, icq, moray,\n",
      "Nearest to years: itunes, parametric, devious, truck, noise, adequate, iona, didn,\n",
      "Nearest to such: charmed, transmit, nimh, malaise, wes, athenaeus, railhead, mears,\n",
      "Nearest to zero: evaporated, prostitution, faraday, hander, cont, sussex, modular, weights,\n",
      "Nearest to while: endurance, wg, satanic, maguey, krieg, messe, derby, lempira,\n",
      "Nearest to first: eunuch, cardboard, bidder, multiplying, expropriation, affinities, carefully, markov,\n",
      "Nearest to world: intimidation, generality, hydrographic, derleth, then, whitehead, elongated, comedienne,\n",
      "Nearest to over: ideogram, executables, boitano, date, key, kung, tongue, haldeman,\n",
      "Nearest to may: behest, queue, specter, praia, labia, summon, semi, ld,\n",
      "Nearest to i: antiquaries, movie, dvo, nchez, repel, kamen, uno, hcl,\n",
      "Nearest to no: capitalize, androgen, propounded, brisance, pencil, slumberland, closed, laminated,\n",
      "Nearest to which: od, undermines, mps, chose, shuster, crs, coma, barring,\n",
      "Nearest to for: anthropologist, exoskeleton, bootstrap, hijackers, viscous, billie, squeak, noa,\n",
      "Nearest to will: springboard, enigmatic, circus, mala, marianas, progress, redefining, prosthetics,\n",
      "Average loss at step 2000: 4.086683\n",
      "Average loss at step 4000: 3.562228\n",
      "Average loss at step 6000: 3.385748\n",
      "Average loss at step 8000: 3.256951\n",
      "Average loss at step 10000: 3.178771\n",
      "Nearest to nine: eight, six, seven, five, four, zero, three, two,\n",
      "Nearest to five: eight, six, four, seven, nine, zero, three, two,\n",
      "Nearest to b: d, bankhead, oratio, crowns, taxpayers, asturias, mackay, umlaut,\n",
      "Nearest to years: days, gamut, latvijas, times, iona, kiosk, disregarded, taliesin,\n",
      "Nearest to such: well, known, nhk, athenaeus, malaise, these, faltering, seanad,\n",
      "Nearest to zero: five, eight, nine, four, six, seven, three, two,\n",
      "Nearest to while: barbara, messe, but, maguey, sunglasses, hotspot, selling, chisinau,\n",
      "Nearest to first: infallible, troupes, mouthpieces, best, next, adp, same, lotta,\n",
      "Nearest to world: incurred, intimidation, hyi, weaning, willie, whalers, reign, luck,\n",
      "Nearest to over: boitano, key, ideogram, jehoiachin, monuments, analysts, awesome, phenyl,\n",
      "Nearest to may: can, would, could, praia, ld, cannot, should, must,\n",
      "Nearest to i: ii, h, emissary, invertebrate, abeokuta, we, dvo, aaron,\n",
      "Nearest to no: physically, suicidal, woodsman, a, therapy, pencil, capitalize, presiding,\n",
      "Nearest to which: that, who, also, this, it, bets, there, what,\n",
      "Nearest to for: with, cyclopedia, hexen, of, choi, after, ecclesiastica, backstage,\n",
      "Nearest to will: would, might, must, can, could, redefining, breeds, jarmusch,\n",
      "Average loss at step 12000: 3.202258\n",
      "Average loss at step 14000: 3.160123\n",
      "Average loss at step 16000: 3.186840\n",
      "Average loss at step 18000: 3.123552\n",
      "Average loss at step 20000: 2.996224\n",
      "Nearest to nine: eight, six, seven, zero, four, five, three, two,\n",
      "Nearest to five: six, seven, four, eight, three, zero, nine, two,\n",
      "Nearest to b: d, umlaut, marsh, bankhead, dueling, mackay, extinguished, boar,\n",
      "Nearest to years: days, times, months, gamut, kiosk, weeks, iona, cinematographers,\n",
      "Nearest to such: well, these, known, many, athenaeus, described, didactic, faltering,\n",
      "Nearest to zero: eight, seven, six, five, nine, four, three, two,\n",
      "Nearest to while: but, however, and, when, reinhard, discriminatory, utilises, mikvah,\n",
      "Nearest to first: second, last, next, lotta, original, u, same, infallible,\n",
      "Nearest to world: album, weaning, virulent, presence, registry, trakai, incurred, swnts,\n",
      "Nearest to over: jehoiachin, ordinate, erp, key, awesome, analysts, boitano, tonight,\n",
      "Nearest to may: can, would, could, will, must, should, might, cannot,\n",
      "Nearest to i: ii, we, he, h, you, abeokuta, t, she,\n",
      "Nearest to no: physically, any, woodsman, clementine, none, bothered, usb, avoided,\n",
      "Nearest to which: that, this, also, who, it, often, these, usually,\n",
      "Nearest to for: cyclopedia, cezanne, after, snipers, bacharach, surgical, hispanic, original,\n",
      "Nearest to will: would, can, must, may, could, might, should, cannot,\n",
      "Average loss at step 22000: 3.073888\n",
      "Average loss at step 24000: 3.041021\n",
      "Average loss at step 26000: 3.000227\n",
      "Average loss at step 28000: 3.027186\n",
      "Average loss at step 30000: 3.007716\n",
      "Nearest to nine: eight, seven, six, four, five, zero, three, two,\n",
      "Nearest to five: six, four, seven, three, eight, zero, nine, two,\n",
      "Nearest to b: n, boar, partnering, node, bankhead, d, dit, posthumously,\n",
      "Nearest to years: days, months, times, weeks, year, people, decades, iona,\n",
      "Nearest to such: these, known, well, carthaginians, many, regarded, faltering, vanguard,\n",
      "Nearest to zero: five, six, eight, seven, four, nine, three, u,\n",
      "Nearest to while: however, when, after, reformatory, although, loves, before, rota,\n",
      "Nearest to first: last, second, next, lotta, original, arsenal, best, same,\n",
      "Nearest to world: album, cecil, weaning, years, trakai, virulent, presence, servicemen,\n",
      "Nearest to over: through, away, off, jehoiachin, around, awesome, into, across,\n",
      "Nearest to may: can, would, will, could, should, might, must, cannot,\n",
      "Nearest to i: we, ii, you, g, abeokuta, she, emissary, orser,\n",
      "Nearest to no: any, none, physically, little, fundraiser, bothered, usb, woodsman,\n",
      "Nearest to which: that, this, who, also, however, bets, typically, what,\n",
      "Nearest to for: cezanne, cyclopedia, after, prehistory, pga, agust, surgical, tartaric,\n",
      "Nearest to will: would, could, can, may, must, might, should, cannot,\n",
      "Average loss at step 32000: 2.828228\n",
      "Average loss at step 34000: 2.950332\n",
      "Average loss at step 36000: 2.946733\n",
      "Average loss at step 38000: 2.934270\n",
      "Average loss at step 40000: 2.934439\n",
      "Nearest to nine: eight, seven, six, five, four, three, zero, two,\n",
      "Nearest to five: six, four, seven, eight, three, zero, nine, two,\n",
      "Nearest to b: d, umlaut, r, n, bahamas, boar, posthumously, node,\n",
      "Nearest to years: days, months, times, weeks, decades, year, hours, people,\n",
      "Nearest to such: these, well, known, regarded, cfm, stevenage, carthaginians, papert,\n",
      "Nearest to zero: seven, five, eight, six, four, three, nine, u,\n",
      "Nearest to while: although, when, and, or, but, though, however, including,\n",
      "Nearest to first: last, second, next, original, third, same, blasphemous, lotta,\n",
      "Nearest to world: presence, exacting, eradication, reissued, season, dirac, longest, virulent,\n",
      "Nearest to over: through, across, away, guinevere, peikoff, scenery, scoop, around,\n",
      "Nearest to may: can, would, could, should, will, must, might, cannot,\n",
      "Nearest to i: we, you, ii, g, she, they, abeokuta, heisei,\n",
      "Nearest to no: physically, any, corroborated, little, none, concerned, bargaining, civ,\n",
      "Nearest to which: that, this, typically, who, what, usually, also, these,\n",
      "Nearest to for: cyclopedia, without, trang, after, keegan, germaine, eugenicist, including,\n",
      "Nearest to will: would, can, could, may, should, must, might, cannot,\n"
     ]
    }
   ],
   "source": [
    "num_steps = 40001\n",
    "\n",
    "with tf.Session(graph=graph) as session:\n",
    "  tf.initialize_all_variables().run()\n",
    "  print('Initialized')\n",
    "\n",
    "  average_loss = 0\n",
    "  for step in range(num_steps):\n",
    "    batch_data, batch_labels = generate_batch(batch_size, num_skips, skip_window)\n",
    "    feed_dict = {train_dataset : batch_data, train_labels : batch_labels}\n",
    "    _, l = session.run([optimizer, loss], feed_dict=feed_dict)\n",
    "    \n",
    "    average_loss += l\n",
    "    if step % 2000 == 0:\n",
    "      if step > 0:\n",
    "        average_loss = average_loss / 2000\n",
    "      # The average loss is an estimate of the loss over the last 2000 batches.\n",
    "      print('Average loss at step %d: %f' % (step, average_loss))\n",
    "      average_loss = 0\n",
    "    \n",
    "    # note that this is expensive (~20% slowdown if computed every 500 steps)\n",
    "    if step % 10000 == 0:\n",
    "      sim = similarity.eval()\n",
    "      for i in range(valid_size):\n",
    "        valid_word = reverse_dictionary[valid_examples[i]]\n",
    "        top_k = 8 # number of nearest neighbors\n",
    "        nearest = (-sim[i, :]).argsort()[1:top_k+1]\n",
    "        log = 'Nearest to %s:' % valid_word\n",
    "        for k in range(top_k):\n",
    "          close_word = reverse_dictionary[nearest[k]]\n",
    "          log = '%s %s,' % (log, close_word)\n",
    "        print(log)\n",
    "  final_embeddings = normalized_embeddings.eval()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "num_points = 400\n",
    "# 降维度PCA\n",
    "tsne = TSNE(perplexity=30, n_components=2, init='pca', n_iter=5000)\n",
    "two_d_embeddings = tsne.fit_transform(final_embeddings[1:num_points+1, :])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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YWGbXKVJa1qxZw/79+wkJCaFRo0a24PXYY4/x8ssv8+233xIQEIAxhry8PBo0+F+ttYKp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eMz9eGHH37A0tLymfZRkRR1DQYNGkTfvn3LuTe60WWwPY3+4uOKrTzpGhb0Nufk5CCEKNJge5yH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4euri5+/vnnWs8zZ84c6OjoQE9PD1wuFwsWLKj1+VG17rlz58La2hrm5uYN6gtL+6a6Z1Y8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\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DRa1UFEUx829kxBkCD0nFig5iNAaIl1drMRqNUr16dTEajWIwGMTd3V3at28vIiKBgYGy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\nYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x11554bc90>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "def plot(embeddings, labels):\n",
    "  assert embeddings.shape[0] >= len(labels), 'More labels than embeddings'\n",
    "  pylab.figure(figsize=(15,15))  # in inches\n",
    "  for i, label in enumerate(labels):\n",
    "    x, y = embeddings[i,:]\n",
    "    pylab.scatter(x, y)\n",
    "    pylab.annotate(label, xy=(x, y), xytext=(5, 2), textcoords='offset points',\n",
    "                   ha='right', va='bottom')\n",
    "  pylab.show()\n",
    "\n",
    "words = [reverse_dictionary[i] for i in range(1, num_points+1)]\n",
    "plot(two_d_embeddings, words)"
   ]
  }
 ],
 "metadata": {
  "colab": {
   "default_view": {},
   "name": "5_word2vec.ipynb",
   "provenance": [],
   "version": "0.3.2",
   "views": {}
  },
  "kernelspec": {
   "display_name": "Python 2",
   "language": "python",
   "name": "python2"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 2
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython2",
   "version": "2.7.10"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 0
}
